Observational studyBMJ open2019
Observational study to assess the effects of social networks on the seasonal influenza vaccine uptake by early career doctors.
Observational study in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed, 13 citations in OpenAlex.
- Vaccination homophily in ego contact networks during the COVID-19 pandemic.Scientific reports · 2024Article
- The importance of increasing primary vaccinations against COVID-19 in Europe.Infectious Disease Modelling · 2024Article
- Assortative mixing of opinions about COVID-19 vaccination in personal networks.Scientific reports · 2024Article
- Polarization in COVID-19 Vaccine Discussion Networks.American politics research · 2023Article
- Network approaches and interventions in healthcare settings: A systematic scoping review.PloS one · 2023Article
- Uptake of COVID-19 Vaccination Among Frontline Workers in California State Prisons.JAMA health forum · 2022Article
- Transmission of Vaccination Attitudes and Uptake Based on Social Contagion Theory: A Scoping Review.Vaccines · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo evaluate the effect of social network influences on seasonal influenza vaccination uptake by healthcare workers.
designCross-sectional, observational study.
settingA large secondary care NHS Trust which includes four hospital sites in Greater Manchester.
participantsFoundation doctors (FDs) working at the Pennine Acute Hospitals NHS Trust during the study period. Data collection took place during compulsory weekly teaching sessions, and there were no exclusions. Of the 200 eligible FDs, 138 (70%) provided complete data. PRIMARY OUTCOME MEASURES: Self-reported seasonal influenza vaccination status.
resultsAmong participants, 100 (72%) reported that they had received a seasonal influenza vaccination. Statistical modelling demonstrated that having a higher proportion of vaccinated neighbours increased an individual's likelihood of being vaccinated. The coefficient for γ, the social network parameter, was 0.965 (95% CI: 0.248 to 1.682; odds: 2.625 (95% CI: 1.281 to 5.376)), that is, a diffusion effect. Adjusting for year group, geographical area and sex did not account for this effect.
conclusionsThis population exhibited higher than expected vaccination coverage levels-providing protection both in the workplace and for vulnerable patients. The modelling approach allowed covariate effects to be incorporated into social network analysis which gave us a better understanding of the network structure. These techniques have a range of applications in understanding the role of social networks on health behaviours.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.